---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: cot_method2test-mistral-7B_v0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# cot_method2test-mistral-7B_v0

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4321

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9547        | 0.8   | 3    | 1.5492          |
| 1.9453        | 1.6   | 6    | 1.5327          |
| 1.8726        | 2.4   | 9    | 1.5110          |
| 1.741         | 3.2   | 12   | 1.4910          |
| 1.6775        | 4.0   | 15   | 1.4716          |
| 1.6711        | 4.8   | 18   | 1.4552          |
| 1.5349        | 5.6   | 21   | 1.4439          |
| 1.4408        | 6.4   | 24   | 1.4385          |
| 1.5928        | 7.2   | 27   | 1.4325          |
| 1.4587        | 8.0   | 30   | 1.4321          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0